Understanding hospital length of stay in trauma laparotomy patients: a National Trauma Database Study
Bibliographic record
Abstract
Introduction: The diverse procedures and varying patient conditions in trauma laparotomy cases lead to significant variability in hospital length of stay (HLOS), posing challenges for effective patient care. Strategies to reduce HLOS are varied, with multiple factors potentially modifiable through targeted interventions. These interventions are most effective when target populations and their associated factors are clearly defined. This study aimed to stratify trauma laparotomy patients by their HLOS and identify factors associated with HLOS to enhance patient care. Methods: A retrospective analysis was conducted using the National Trauma Data Bank from January 2017 to December 2019. Adult trauma patients who underwent trauma laparotomy following blunt or penetrating abdominal injuries were identified using International Classification of Diseases, 10th Revision codes and Abbreviated Injury Scales. HLOS was stratified into three groups based on the IQR of the study population: short (< 5 days), medium (5-11 days) and long (> 11 days). Results: A total of 27 434 trauma laparotomy patients were identified. The overall median HLOS was 7.0 (5.0, 11.0) days. Penetrating mechanisms, particularly stab wounds, were strongly associated with a short HLOS. Additionally, isolated abdominal trauma, splenic injuries or spleen-related procedure were more likely to result in a short HLOS. Patients with a long HLOS experienced higher rates of in-hospital complications and were more frequently discharged to home with home health services or to extended care facilities. Most comorbidities were associated with a long HLOS, and patients with Medicaid or Medicare had a higher likelihood of a long HLOS. Conclusion: Despite the relatively homogenous trauma population, HLOS distribution varied significantly. Stratification based on HLOS revealed distinct factors associated with short and long HLOS categories, indicating that targeted interventions for each category could potentially reduce HLOS and enhance patient outcomes in the current era of constrained healthcare resources. Level of evidence study type: Level IV, therapeutic/care management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".